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togetherai_completion

Run text completions with Together AI models by providing a prompt and API key. Supports parameters like max_tokens, temperature, top_p, and stop sequences.

Instructions

Run a text completion with any Together AI model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesTogether AI API key
modelNoModel ID (e.g. mistralai/Mistral-7B-v0.1)
promptYesText prompt to complete
max_tokensNoMaximum tokens to generate
temperatureNoSampling temperature 0-2
top_pNoTop-p nucleus sampling
top_kNoTop-k sampling
stopNoStop sequences
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose any behavioral traits such as authentication needs (api_key is a parameter but not mentioned), rate limits, or side effects. The description is minimal and does not add value beyond the parameter schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence that is efficient and to the point. It earns its place by stating the core purpose, though it could benefit from more detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 8 parameters and no output schema, the description is incomplete. It does not explain return format, error handling, or any behavioral context that would help an agent use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already describes each parameter. The description adds no additional meaning beyond what is in the schema, warranting a baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'run' and resource 'text completion' with the scope 'any Together AI model'. It is specific enough to distinguish from sibling tools like 'togetherai_chat_completion' by using the term 'completion', though it doesn't explicitly call out the difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., chat completion) or when not to use it. With many similar completion tools available, this is a significant gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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